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Record W2389025954

Comparison Analysis of Strengthened Story Scheme of High-Rise Hybrid Structures

2013· article· en· W2389025954 on OpenAlex
Tan Wei

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJianzhu gangjiegou jinzhan · 2013
Typearticle
Languageen
FieldEngineering
TopicSeismic and Structural Analysis of Tall Buildings
Canadian institutionsCanadian Council on International Law
Fundersnot available
KeywordsOutriggerStructural engineeringTrussStiffnessEngineeringShear (geology)Low-riseShear wallMaterials scienceComposite material
DOInot available

Abstract

fetched live from OpenAlex

Comparing study for the effect of strengthened story on the behavior of hybrid structures is conducted based on an actual project of 49-storey and 224.8 m high.Six different models are established to study the period and mode,inter-story drift,story shear capacity and inner force of typical structural members.Results show that flexible strengthened stories should be arranged in accordance with mechanical floors as more as possible to enhance the stiffness of the structure,especially for steel-concrete hybrid structure of tall buildings subjected to heavy wind load.The stiffer the strengthened story is,the more serious the mutation of inner forces will be.Belt truss has minor effect on the stiffness of frame-core structure when it is set up with outrigger,while it may be useful in improving the story shear capacity and avoiding the weak story with the increasing height.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.223
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it